Lead GenAI Data Scientist

Wells Fargo is seeking Lead Gen AI Data Scientist role as part of the Consumer Model Development. This role is pivotal in leading the development and implementation of cutting-edge Generative AI (GenAI) and Natural Language Processing (NLP) solutions within the Consumer LOB's - Banking, Lending, and WIM divisions. The successful candidate will lead model development for projects/programs and guide a team of data scientists and collaborate with business and technology partners to drive end-to-end solution design and development for implementing virtual assistants, content generation, agentic frameworks, and others for improving employee/customer experience, driving operational efficiencies, and mitigating risks. Learn more about the career areas and lines of business at wellsfargojobs.com.

In this role, you will:

• Lead the design, development, and deployment of GenAI and NLP models for various consumer-facing applications
• Translate business problems into technical solutions, leveraging advanced GenAI/NLP/ML methodologies
• Collaborate with cross-functional teams to integrate AI solutions into business processes, ensuring scalability and robustness
• Provide mentorship and technical guidance to junior data scientists
• Engage with business stakeholders to communicate insights, model outcomes, and the strategic value of AI initiatives
• Ensure compliance with regulatory requirements and internal risk management policies

• 5+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science, * Demonstrated expertise in Generative AI, including large language models, Generative AI frameworks, and advanced NLP techniques which includes leading GenAI projects from conception to production

• Proficiency in Python, PySpark, TensorFlow, PyTorch, and cloud platforms such as Google Cloud Platform (GCP) or Vertex AI

• Strong background in GenAi/NLP, machine learning, deep learning, and statistical analysis Experience in the financial services industry, particularly within consumer banking, lending, wealth and asset management

• Familiarity with regulatory and compliance considerations in AI model deployment

• Strong communication and presentation skills with the ability to translate complex technical concepts to non-technical stakeholders

• Strong full stack data science skills

• A track record of published research or patents in AI/ML, * Ability to travel up to 10% of the time